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OverviewData mining has witnessed substantial advances in recent decades. New research questions and practical challenges have arisen from emerging areas and applications within the various fields closely related to human daily life, e.g. social media and social networking. This book aims to bridge the gap between traditional data mining and the latest advances in newly emerging information services. It explores the extension of well-studied algorithms and approaches into these new research arenas. Full Product DetailsAuthor: Guandong Xu , Yu Zong , Zhenglu YangPublisher: Taylor & Francis Inc Imprint: CRC Press Inc Dimensions: Width: 15.60cm , Height: 2.30cm , Length: 23.40cm Weight: 0.690kg ISBN: 9781466585836ISBN 10: 1466585838 Pages: 284 Publication Date: 17 June 2013 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsFUNDAMENTALS. Introduction. Mathematical Foundations. Data Preparation. Cluster Analysis. Classification. Frequent Pattern Mining. ADVANCED DATA MINING. Advanced Clustering Analysis. Privacy Preserving in Data Mining. Data Stream. EMERGING APPLICATIONS. Web Clustering and Web Community. Recommender Systems. Data Mining in Social Tagging Systems. Social Network Mining.ReviewsAuthor InformationDr. Guandong Xu , Centre for Applied Informatics, School of Engineering and Science, Victoria University, Australia Prof. Yu Zong, Department of Information and Engineering, West Anhui University, China Dr. Zhenglu Yang, Institute of Industrial Science, Tokyo, Japan Tab Content 6Author Website:Countries AvailableAll regions |